Raghavendra Selvan

About Raghavendra Selvan

Raghavendra Selvan, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Københavns Universitet, specializes in the field of Sustainability, Efficient Machine Learning, Medical Image Analysis, AI for Sciences.

His recent articles reflect a diverse array of research interests and contributions to the field:

Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization

EC-NAS: Energy consumption aware tabular benchmarks for neural architecture search

Equity through Access: A Case for Small-scale Deep Learning

Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency

CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

Is Adversarial Training with Compressed Datasets Effective?

Pedunculopontine Chx10+ neurons control global motor arrest in mice

Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

Raghavendra Selvan Information

University

Position

Assistant Professor

Citations(all)

965

Citations(since 2020)

946

Cited By

139

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Raghavendra Selvan Skills & Research Interests

Sustainability

Efficient Machine Learning

Medical Image Analysis

AI for Sciences

Top articles of Raghavendra Selvan

Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization

2024/4/14

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

EC-NAS: Energy consumption aware tabular benchmarks for neural architecture search

2024/4/14

Christian Igel
Christian Igel

H-Index: 30

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Equity through Access: A Case for Small-scale Deep Learning

arXiv preprint arXiv:2403.12562

2024/3/19

Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency

arXiv preprint arXiv:2403.09441

2024/3/14

Tong Chen
Tong Chen

H-Index: 7

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

arXiv preprint arXiv:2402.13221

2024/2/20

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Is Adversarial Training with Compressed Datasets Effective?

arXiv preprint arXiv:2402.05675

2024/2/8

Tong Chen
Tong Chen

H-Index: 7

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Pedunculopontine Chx10+ neurons control global motor arrest in mice

Nature Neuroscience

2023/9

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Roberto Leiras
Roberto Leiras

H-Index: 6

Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

arXiv preprint arXiv:2301.05465

2023/1/13

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Jens Petersen
Jens Petersen

H-Index: 12

Spinal inhibitory neurons degenerate before motor neurons and excitatory neurons in a mouse model of ALS

bioRxiv

2023

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Ilary Allodi
Ilary Allodi

H-Index: 11

Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry

2023

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

DeepStruc: Towards structure solution from pair distribution function data using deep generative models

Digital Discovery

2023

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging

Imaging Neuroscience

2023/12/14

Operating critical machine learning models in resource constrained regimes

2023/10/8

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation

2023/10/6

Kirsten Marie Ørnsbjerg Jensen
Kirsten Marie Ørnsbjerg Jensen

H-Index: 20

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Predicting lake bathymetry from the topography of the surrounding terrain using deep learning

Limnology and Oceanography: Methods

2023/10

Kenneth Thorø Martinsen
Kenneth Thorø Martinsen

H-Index: 7

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

arXiv preprint arXiv:2309.02065

2023/9/5

Stabilization of V1 interneuron-motor neuron connectivity ameliorates motor phenotype in a mouse model of ALS

bioRxiv

2022/12/15

Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

2022/8/23

Raghavendra Selvan
Raghavendra Selvan

H-Index: 7

Extracting Structural Motifs from Pair Distribution Function Data of Nanostructures using Explainable Machine Learning

npj Computational Materials

2022/10/1

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

2022/3/4

See List of Professors in Raghavendra Selvan University(Københavns Universitet)

Co-Authors

academic-engine